code: def get_megatron_tokenizer(pretrained_model_name: str):
      """
      Takes a pretrained_model_name for megatron such as "megatron-bert-cased" and returns the according
      tokenizer name for tokenizer instantiating.
  
      Args:
          pretrained_model_name: pretrained_model_name for megatron such as "megatron-bert-cased"
      Returns:
          tokenizer name for tokenizer instantiating
      """
      _check_megatron_name(pretrained_model_name)
      return MEGATRON_CONFIG_MAP[pretrained_model_name][
          "tokenizer_name"
      ]
  
file_path: NeMo/nemo/collections/nlp/modules/common/megatron/megatron_utils.py
imports: import os
  import shutil
  from typing import Dict, List
  import torch
  import wget
  from torch.hub import _get_torch_home
  from nemo.utils import logging
label_desc: Use image node_id 11 for calling a global function with example usage: get_megatron_tokenizer(pretrained_model_name) and returns: MEGATRON_CONFIG_MAP